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首页> 外文期刊>Journal of electronic imaging >Fast single image dehazing based on image fusion
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Fast single image dehazing based on image fusion

机译：基于图像融合的快速单图像去雾

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摘要

Images captured in foggy weather conditions often fade the colors and reduce the contrast of the observed objects. An efficient image fusion method is proposed to remove haze from a single input image. First, the initial medium transmission is estimated based on the dark channel prior. Second, the method adopts an assumption that the degradation level affected by haze of each region is the same, which is similar to the Retinex theory, and uses a simple Gaussian filter to get the coarse medium transmission. Then, pixel-level fusion is achieved between the initial medium transmission and coarse medium transmission. The proposed method can recover a high-quality haze-free image based on the physical model, and the complexity of the proposed method is only a linear function of the number of input image pixels. Experimental results demonstrate that the proposed method can allow a very fast implementation and achieve better restoration for visibility and color fidelity compared to some state-of-the-art methods. (C) 2015 SPIE and IS&T
机译：在有雾的天气条件下拍摄的图像通常会使颜色褪色并降低所观察对象的对比度。提出了一种有效的图像融合方法，用于从单个输入图像中去除雾度。首先，基于暗信道先验估计初始媒体传输。其次，该方法假设每个区域受雾度影响的退化水平相同，这类似于Retinex理论，并使用简单的高斯滤波器获得粗糙介质的传播。然后，在初始媒体传输和粗糙媒体传输之间实现像素级融合。所提出的方法可以基于物理模型来恢复高质量的无雾图像，并且所提出的方法的复杂度仅仅是输入图像像素数量的线性函数。实验结果表明，与某些最新方法相比，该方法可以实现非常快的实现，并且可以更好地恢复可见性和色彩保真度。 （C）2015 SPIE和IS＆T

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  • 来源
    《Journal of electronic imaging》 |2015年第1期|013020.1-013020.10|共10页
  • 作者

    Liu Haibo; Yang Jie; Wu Zhengping; Zhang Qingnian;

  • 作者单位

    Wuhan Univ Technol, Key Lab Fiber Opt Sensing Technol & Informat Proc, Minist Educ, Wuhan 430070, Peoples R China|Hunan Inst Technol, Sch Elect & Informat Engn, Hengyang 421002, Peoples R China;

    Wuhan Univ Technol, Key Lab Fiber Opt Sensing Technol & Informat Proc, Minist Educ, Wuhan 430070, Peoples R China;

    Wuhan Univ Technol, Key Lab Fiber Opt Sensing Technol & Informat Proc, Minist Educ, Wuhan 430070, Peoples R China;

    Wuhan Univ Technol, Sch Transportat, Wuhan 430070, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    dehazing; medium transmission; physical model; dark channel prior; Retinex theory; Gaussian filter;

    机译：除雾;介质传输;物理模型;暗通道先验;Retinex理论;高斯滤波器;

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